Advanced AI Chatbots: Build, Evaluate, and Deploy Agents RAG Chatbots

Course Overview

This course teaches how to build and deploy a reliable, customizable Retrieval-Augmented Generation (RAG) chatbot using LangChain 1.0. It covers creating chatbots with structured citations for accuracy, adding middleware for logging and fallback, evaluating chatbot quality with tracing and automated metrics, and preparing chatbots for public deployment in regulated environments like healthcare and education. Suitable for beginner to intermediate developers, AI engineers, and data scientists.

Key Takeaways

• Build a RAG chatbot with structured citations to ensure accurate and traceable responses.
• Add middleware to extend chatbot functionality without modifying core code.
• Measure chatbot quality using tracing and automated metrics.
• Prepare and deploy chatbots for public use, including regulated environments.
• Adapt chatbot architecture for various use cases.

Target Learners

Developers, AI engineers, data scientists, and anyone interested in building conversational AI chatbots.